5⭐ 𝗖𝗹𝗶𝗲𝗻𝘁 𝗥𝗲𝘃𝗶𝗲𝘄: "Highly recommended! Vivek is professional, responsive, and delivers excellent work. He quickly understood my requirements, communicated clearly throughout the project..." 🎓 𝗠𝗮𝘀𝘁𝗲𝗿'𝘀 𝗶𝗻 𝗘𝗺𝗯𝗲𝗱𝗱𝗲𝗱 𝗦𝘆𝘀𝘁𝗲𝗺𝘀 + 𝟳 𝘆𝗲𝗮𝗿𝘀' 𝗦𝗼𝗳𝘁𝘄𝗮𝗿𝗲 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿𝗶𝗻𝗴 | Python, OCR, n8n, OpenAI, Claude, Computer Vision
Top Rated Plus AI automation engineer helping businesses turn messy documents and manual workflows into reliable automation systems using n8n, OCR, Python, OpenAI/Claude, RAG, and computer vision.
I build AI systems that extract structured data from PDFs, invoices, receipts, emails, forms, scanned documents, and images — then automate the workflow into CRMs, spreadsheets, databases, or approval systems.
👉 Proof from past work:
• Cut image-processing time by 94% for Magna International: 37s to 2.5s
• Built n8n workflows and RAG agents saving a client 20+ hours/week
• Delivered AI workflows clients described as precise, efficient, and fully aligned with requirements
• Built YOLO + Python real-time sports analytics for player and ball tracking
👉 What I build:
• AI data extraction from invoices, PDFs, forms, receipts, shipping labels, images, and scanned documents
• n8n automations connecting Gmail, Google Sheets, Airtable, CRMs, APIs, databases, webhooks, and human review steps
• Python/FastAPI backends for workflows that need more reliability than a no-code automation
• OCR and document AI pipelines using OpenAI, Claude, Mistral OCR, Tesseract, RAG, vector databases, and validation logic
• AI agents for classification, routing, summarization, field extraction, exception handling, and decision support
• Computer vision pipelines with OpenCV, YOLO, PyTorch, TensorFlow, and real-time image/video processing
👉 Where I bring the most value:
✅ AI Automation Engineering
• n8n, Python, OpenAI/Claude APIs, webhooks, and REST API integrations
• Production-grade error handling, retry logic, monitoring, and human-in-the-loop review
• Workflow automation for Gmail, Google Sheets, Airtable, CRMs, databases, and internal tools
• Python/FastAPI backends when an automation needs more reliability than a no-code workflow
✅ AI Data Extraction & Document Processing
• OCR + AI data extraction for invoices, PDFs, receipts, forms, shipping labels, and scanned documents
• Document classification, field extraction, validation, and exception routing
• RAG workflows for searching, comparing, and summarizing internal documents
• n8n automations that move extracted data into Sheets, CRMs, databases, APIs, or approval queues
✅ GDPR-Aware Automation for EU Businesses
• GDPR-aware AI automation for European teams handling sensitive documents or customer data
• Privacy-conscious workflows with human review, audit trails, access control, and data-minimization thinking
• On-premise or self-hosted options where documents should not be sent through unnecessary third-party tools
• Clear handoff documentation so your team understands where data goes, what is stored, and what can be deleted
✅ Computer Vision & Python Automation
• Computer vision pipelines with OpenCV, YOLO, PyTorch, TensorFlow, and image processing
• Real-time object detection, tracking, video analytics, and quality-control workflows
• Performance optimization for production systems, including latency and processing-speed improvements
• Dockerized deployment, clean handoff, and documented production-ready code
✅ AI Agents & Workflow Intelligence
• AI agents for classification, routing, summarization, decision support, and task automation
• LLM-powered workflows using OpenAI, Claude, RAG, vector databases, and prompt optimization
• Automation rescue: fixing broken n8n workflows, unreliable OCR pipelines, and fragile scripts
• Long-term automation support, improvements, and 30-day post-deployment warranty
Tech Stack:
n8n, Python, FastAPI, Flask, OpenAI API, Claude API, RAG, AI agents, prompt engineering, webhooks, REST APIs, SQL, PostgreSQL, Docker, AWS, Google Sheets, Gmail, Airtable, CRMs, Slack, Notion, Mistral OCR, Tesseract, PDF extraction, OpenCV, YOLO, PyTorch, TensorFlow.
I’m strongest when the workflow is messy: inconsistent PDFs, poor image quality, missing fields, vendor-specific formats, manual checks, broken n8n workflows, or automations that fail when real-world edge cases appear.
You get rapid prototypes, production-ready code, Dockerized deployment, clear documentation, and a 30-day post-deployment warranty for issues after handoff.
Send me the workflow, one sample document, or your current broken automation. I’ll outline the shortest reliable path to automate it.
TensorFlow
Computer Vision
Python
PyTorch
Web Scraping
n8n
AI Agent Development
Automation
Machine Learning
Chatbot Development
REST API
Data Mining
API Development
Data Extraction
Bot Development
Deep Learning
Object Tracking
Image Processing
Edge AI
Model Deployment
Tahir H.
Lahore, Pakistan
$35/hr
4.8
185 jobs
Most developers will build exactly what you spec. The problem is that what gets specced is rarely what actually solves the business problem. The gap between those two things is where AI projects fail, and closing that gap before writing any code is how I work.
I have been building production AI systems and full-stack platforms for several years. Not prototypes. Systems that handle real users, real data and real consequences when something breaks.
TaxForce is a 37-agent system running inside a real CPA firm covering document intake, risk scoring, audit defense, deadline tracking and client communication. The Facebook Self-Healing Ads platform is a closed-loop AI system that monitors, diagnoses and fixes campaign performance without human intervention. PAM AI handles thousands of concurrent dealership calls across 8 plus CRM integrations. Dentva is a HIPAA-compliant SaaS handling patient scheduling in production daily. These are not templates strung together, they are properly engineered systems with error handling, logging and recovery paths built in from the start.
Before this I spent a year and a half at Turing doing RLHF and model evaluation on the OpenAI and Claude model families. That experience shapes how I evaluate AI output and design systems that behave reliably rather than impressively in demos.
On the full-stack side I was CTO on RIZZ, a React Native dating app that grew past 100K users. I have worked on Junia AI, Slides and TopSocialAI across multi-tenant architecture, real-time systems and mobile at scale. These are confirmed production experience not claimed skills.
The stack I work in daily is Next.js, React, TypeScript, Python FastAPI, Node.js, Supabase, PostgreSQL, LangChain, LangGraph, OpenAI, Anthropic API, Retell AI, Vapi, Twilio, ElevenLabs, Deepgram, n8n, Make and AWS.
If you are building something in agentic systems, AI automation, full-stack SaaS or voice AI and you want someone who will tell you honestly what the right approach is before agreeing to build it, that is the conversation I am interested in having.
TensorFlow
Artificial Intelligence
Machine Learning
Python
Natural Language Processing
Computer Vision
Deep Learning
Data Science
Automation
Large Language Model
Generative AI
LangChain
AI Agent Development
AI Model Development
n8n
Make.com
OpenAI API
ChatGPT
API Integration
Next.js
Muhammad Anees Y.
Bahawalpur, Pakistan
$10/hr
5.0
4 jobs
I am an Artificial Intelligence undergraduate with hands-on experience in GPT integrations, FastAPI backends, and Python automation. I am at an early stage of my career, but I bring something many experienced developers don't — full focus, fresh knowledge, and the drive to over-deliver on every single project.
🔧 What I Can Build:
🤖 GPT & AI Integration — OpenAI API, custom chatbots, LangChain pipelines
🔌 API Development — FastAPI backends, clean documented endpoints
⚙️ Python Automation — Bots, scrapers, workflow scripts
📊 Data & ML Support — Pandas, Scikit-learn, data pipelines
💻 Stack: Python · FastAPI · OpenAI API · LangChain · Pandas · Scikit-learn · Git · PostgreSQL
You get affordable rates, honest communication, and a developer who treats your project like it's their own.
Send me an invite — let's build something
TensorFlow
Artificial Intelligence
Machine Learning
Deep Learning
Data Extraction
Machine Learning Model
Computer Vision
Python
Flask
API Development
Web API
PyTorch
Bug Fix
Bug Investigation
Code Review
Davinder S.
Uklana Mandi,Hisar, India
$15/hr
4.5
55 jobs
𝐒𝐞𝐧𝐢𝐨𝐫 𝐀𝐈/𝐌𝐋 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫 | 𝐀𝐈 𝐒𝐚𝐚𝐒 𝐀𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭 | 𝐅𝐮𝐥𝐥 𝐒𝐭𝐚𝐜𝐤 𝐏𝐲𝐭𝐡𝐨𝐧 𝐃𝐞𝐯𝐞𝐥𝐨𝐩𝐞𝐫 | 𝐀𝐈 𝐕𝐨𝐢𝐜𝐞 𝐀𝐠𝐞𝐧𝐭𝐬 & 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐢𝐨𝐧 𝐄𝐱𝐩𝐞𝐫𝐭 (𝐧𝟖𝐧, 𝐌𝐚𝐤𝐞 𝐜𝐨𝐦, 𝐙𝐚𝐩𝐢𝐞𝐫, 𝐆𝐇𝐋)
I design and build production-grade AI systems, SaaS platforms, and automation solutions that help businesses scale, reduce manual work, and launch real AI-powered products not prototypes or demos.
If you're building an AI SaaS product, LLM application, AI automation system, or AI voice agent, you don’t need another API integrator you need a system architect who can design for reliability, scale, and real-world usage.
I am a Senior AI/ML Engineer and Full Stack Python Developer with 14+ years of experience building AI products, SaaS platforms, LLM systems, RAG pipelines, and automation infrastructures in production environments.
𝐌𝐲 𝐟𝐨𝐜𝐮𝐬 𝐢𝐬 𝐬𝐢𝐦𝐩𝐥𝐞: 𝐓𝐮𝐫𝐧 𝐢𝐝𝐞𝐚𝐬 𝐢𝐧𝐭𝐨 𝐟𝐮𝐥𝐥𝐲 𝐰𝐨𝐫𝐤𝐢𝐧𝐠 𝐀𝐈 𝐬𝐲𝐬𝐭𝐞𝐦𝐬 𝐭𝐡𝐚𝐭 𝐬𝐜𝐚𝐥𝐞 𝐢𝐧 𝐭𝐡𝐞 𝐫𝐞𝐚𝐥 𝐰𝐨𝐫𝐥𝐝.
🚀 What I Build:-
a) AI SaaS & Full Stack Web Applications: I design and build complete AI-powered SaaS platforms and web applications from the ground up.
This includes everything from intuitive user interfaces to scalable backend systems, APIs, databases, and deployment architecture.
I work with modern technologies like React, Next.js, TypeScript, Node.js, Python, FastAPI, Django, and the MERN stack to deliver solutions that are secure, scalable, and ready for real users.
Whether you're building an AI SaaS product, CRM platform, marketplace, internal business tool, or startup MVP, I help you turn your idea into a fully functional product that can scale with your business.
b) AI Agents & RAG Systems: I build intelligent AI systems that don’t just respond to prompts—they can reason, plan, and execute tasks. These systems are designed to handle real workflows end-to-end, not just generate text responses.
Using frameworks like LangChain, AutoGen, CrewAI, and LlamaIndex, I develop:
autonomous AI agents
multi-step reasoning systems
retrieval-augmented generation (RAG) pipelines with memory
tool-using AI systems
MCP (Model Context Protocol) integrations
c) LLM Integration & AI Engineering: I integrate advanced language models such as OpenAI GPT-4o, Claude, and Gemini into real-world applications and business systems.
The goal is simple: AI systems that work consistently and reliably in production.
My focus is on building AI features that are reliable, production-ready, and optimized for scale, including:
real-time streaming responses for smooth user experience
proper rate limit and error handling
fallback and recovery mechanisms
evaluation and testing pipelines
scalable deployment architecture
d) AI Automation (n8n / Make / Zapier / GHL): I build end-to-end automation systems that help businesses eliminate manual work and streamline operations.
Using tools like n8n, Make com, Zapier, and GoHighLevel, I automate:
sales and lead management workflows
CRM and customer journey automation
internal business processes
marketing and outreach systems
AI-powered decision workflows
e) No-Code to Scalable Code Migration: If your product was built on platforms like Bubble, Webflow, FlutterFlow, Replit, or Base44 and has started hitting limitations, I help you migrate it into a scalable, production-grade system.
I rebuild your application using modern frameworks like Next.js and robust backend architectures while preserving your existing functionality.
At the same time, I upgrade your system for:
better performance
stronger security
long-term scalability
clean maintainable architecture
Why clients pick me:
Most developers integrate an API and call it done. I architect the full system proper error handling, rate limit management, monitoring so it still works when 500 real users hit it, not just in the demo.
**Tech Stack**
Frontend: React · Next.js · TypeScript · Tailwind CSS · Redux
Backend: Node.js · Express · Python · FastAPI · Django · Laravel · GraphQL · REST APIs
Database: MongoDB · PostgreSQL · MySQL · Redis · Prisma · Supabase · Firebase
AI: OpenAI GPT-4o · Claude API · Gemini · LangChain · AutoGen · CrewAI · LlamaIndex · Pinecone · Weaviate · Hugging Face · Ollama · Claude Code · Vertex AI
Automation: n8n · Make com · Zapier · MCP · Webhooks
DevOps: AWS · Vercel · Docker · GitHub Actions · CI/CD · Linux VPS
**Industries: Fintech · Health tech · B2B SaaS · Marketplace · E-commerce · On-demand · EdTech · Logistics · Legal tech · HR tech · Real estate tech · Travel tech · CRM platforms · Internal tools
Got an existing app that needs fixing, scaling, or AI added? I handle that too.
If you're looking for an AI Engineer, AI SaaS Architect, or Full Stack Python Developer, I can help you design and build a production-ready AI system that actually scales in the real world.
📩 Message me first tell me what you're building and what's blocking you.
TensorFlow
AI Agent Development
Automation
AI Development
Machine Learning
Artificial Intelligence
LangChain
Make.com
Zapier
n8n
Python
Automated Workflow
JavaScript
Business Process Automation
Full-Stack Development
Web Application
AI App Development
Web Development
Deep Learning
Lead Generation
Shehryar M.
Lahore, Pakistan
$40/hr
4.7
123 jobs
-- Top 3% of AI Developers on Upwork (rated: Top Rated Plus)
-- 5+ Years of Professional Experience in Machine Learning
-- Specialized in Generative AI, Image Generation, and Speech Generation
As a specialist in AI, I bring a strong theoretical foundation alongside practical expertise in machine learning, deep learning, and generative AI models. With over 5 years of experience, I excel in applying advanced AI techniques to solve complex problems in image generation, speech synthesis, and more.
Key Areas of Expertise:
- Deep expertise in generative AI models for image, video, and speech generation (GANs, VAEs, diffusion models).
- Skilled in designing and fine-tuning LLMs and multimodal models, integrating image, text, and speech for advanced AI solutions.
- Proficient in the full ML/DL pipeline: architecture design, model training, deployment, and continuous optimization.
- Extensive experience in applying cutting-edge neural networks for computer vision, NLP, and audio processing.
- Developed custom generative models for use cases including text-to-image, image-to-image, speech-to-text, text-to-speech, and voice cloning.
- Implemented solutions for automated content generation, image captioning, visual understanding, speech synthesis, and multimodal fusion.
- Focused on optimizing models for deployment on mobile, cloud, and edge devices using tools like PyTorch, TensorFlow, and NVIDIA frameworks.
Research Experience:
- Published work in reinforcement learning at ICML ("Inverse Constrained Reinforcement Learning") with applications in human feedback for improving generative models.
- Expertise in Reinforcement Learning from Human Feedback (RLHF), a key technique used in training high-performance LLMs and generative models.
Technical Skills:
- Core Areas: Generative AI, Image Generation, Speech Generation, Multimodal AI, Computer Vision, NLP, OCR, Large Language Models, Big Data Analytics.
- Libraries/Frameworks: TensorFlow, Keras, PyTorch, Hugging Face, OpenAI, CoreML, FastAPI, Flask.
- Toolkits: PyTorch, Numpy, Pandas, CUDA, TensorFlow, OpenCV, Tflite.
- Operational Tools: GCP, AWS, Kubernetes, Docker, Github, Gitlab.
TensorFlow
Python
Computer Vision
OpenCV
PyTorch
Keras
pandas
Recommendation System
Tesseract OCR
Natural Language Processing
Time Series Analysis
Artificial Neural Network
Neural Network
Artificial Intelligence
Statistics
Harris T.
Lahore, Pakistan
$5/hr
5.0
7 jobs
AI Expert and Full Stack Developer | I Build Intelligent Systems That Actually Work in Production
Most developers write code. I solve business problems. I have built AI agents, SaaS platforms, and automation systems that are running in production right now, saving my clients time and money every single day.
If you need someone who understands both the technology and your business goals, you are in the right place.
WHAT I DO BEST
AI and Autonomous Agents
Custom AI agents that plan, collaborate, and complete tasks on their own using LangChain, CrewAI, and AutoGPT. I build RAG systems with vector databases like Pinecone, FAISS, and Weaviate so your AI answers accurately from your own data. I also create chatbots and AI assistants for websites, apps, and CRMs powered by OpenAI, Anthropic, or LLaMA, along with NLP solutions such as semantic search, summarization, and sentiment analysis.
Full Stack Development
Frontend: React, NextJS, Vue, TypeScript, TailwindCSS
Backend: NodeJS, Django, FastAPI, Flask
Databases: PostgreSQL, MongoDB, Firebase, Supabase
I build complete SaaS platforms, dashboards, and admin panels that are ready to scale.
Automation and DevOps
Workflow automation with Zapier, Make, and custom Python scripts. Web scraping, data pipelines, and scheduled jobs. Docker, CI/CD, AWS, GCP, and Vercel, deployed right the first time.
REAL PROJECTS I HAVE BUILT
-AI Sales Assistant that listens to sales calls, suggests responses in real time, and drafts follow up emails automatically.
-Document Intelligence System that reads contracts, extracts key terms, and flags risks and deadlines before they become problems.
-Meeting to Action Tool that records meetings, generates summaries, and assigns tasks to the right people without anyone lifting a finger.
-Fraud Detection Assistant that monitors transactions and flags suspicious activity in real time.
AI Workflow Orchestrator that connects CRM, Slack, Notion, and email into one automated pipeline.
WHY CLIENTS CHOOSE ME
-End to end ownership. From idea to deployed product, I handle the AI logic, APIs, UI, and hosting.
-Business first thinking. I focus on ROI, efficiency, and user experience, not just clever code.
-Fast and clear communication. Regular updates, honest timelines, and a partner who speaks your language.
-Production grade quality. Clean, tested, maintainable code that grows with your business. No fragile prototypes.
-Quick results. Many clients see a working demo within the first few days.
LET US BUILD SOMETHING GREAT
Whether you are a startup founder racing to launch or an established company automating key workflows, I will help you ship an intelligent, scalable system that delivers real results.
Send me a message and let us discuss your project today.
TensorFlow
Artificial Intelligence
Data Analysis
Automation
Web Development
Computer Vision
LangChain
n8n
Django
PyTorch
React
OpenAI API
Web Development Consultation
Machine Learning
Chatbot
Mobile App
iOS Development
SaaS Development
Automated Workflow
AI Agent Development
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How to Hire Top TensorFlow developers
How to hire TensorFlow developers
From big data analytics to voice-recognition systems, TensorFlow developers can leverage TensorFlow’s library of algorithms to help you build machine-learning apps.
So how do you hire TensorFlow developers? What follows are some tips for finding top TensorFlow developers on Upwork.
How to shortlist TensorFlow professionals
As you’re browsing available TensorFlow consultants, it can be helpful to develop a shortlist of the professionals you may want to interview. You can screen profiles on criteria such as:
Industry fit. You want a TensorFlow developer who understands your industry so they can help you figure out how best to reach your target market.
Project experience. Screen candidate profiles for specific skills and experience (e.g., integrating TensorFlow with Spark for high-throughput data processing).
Feedback. Check reviews from past clients for glowing testimonials or red flags that can tell you what it’s like to work with a particular TensorFlow developer.
How to write an effective TensorFlow job post
With a clear picture of your ideal TensorFlow developer in mind, it’s time to write that job post. Although you don’t need a full job description as you would when hiring an employee, aim to provide enough detail for a contractor to know if they’re the right fit for the project.
An effective TensorFlow job post should include:
Scope of work: From big data analytics to image-recognition systems, list all the deliverables you’ll need.
Project length: Your job post should indicate whether this is a smaller or larger project.
Background: If you prefer experience with certain industries, technologies, or developer tools, mention this here.
Budget: Set a budget and note your preference for hourly rates vs. fixed-price contracts.
TensorFlow is Google’s open-source development framework for machine learning, a subset of artificial intelligence that combines statistical techniques with algorithms to create programs that teach themselves.
Here’s a quick overview of the skills you should look for in TensorFlow consultants:
TensorFlow
Algorithm development
Machine learning
Data science
Python SciPy
TensorFlow is Google’s open-source development framework for machine learning, a subset of artificial intelligence that combines statistical techniques with algorithms to create programs that teach themselves.
Here’s a quick overview of the skills you should look for in TensorFlow consultants:
TensorFlow
Algorithm development
Machine learning
Data science
Python SciPy
Why hire TensorFlow developers?
The trick to finding top TensorFlow developers is to identify your needs. Is your goal to use k-nearest neighbors (KNN) to categorize different types of tumor cells in a lab sample? Or do you need the help of a natural language processing (NLP) pro to build a self-learning chatbot? The cost of your project will depend largely on your scope of work and the specific skills needed to bring your project to life.
The trick to finding top TensorFlow developers is to identify your needs. Is your goal to use k-nearest neighbors (KNN) to categorize different types of tumor cells in a lab sample? Or do you need the help of a natural language processing (NLP) pro to build a self-learning chatbot? The cost of your project will depend largely on your scope of work and the specific skills needed to bring your project to life.
How much does it cost to hire a TensorFlow developer?
Rates can vary due to many factors, including expertise and experience, location, and market conditions.
An experienced TensorFlow developer may command higher fees but also work faster, have more specialized areas of expertise, and deliver a higher-quality product.
A contractor who is still in the process of building a client base may price their TensorFlow development services more competitively.
Which one is right for you will depend on the specifics of your project.
Rates can vary due to many factors, including expertise and experience, location, and market conditions.
An experienced TensorFlow developer may command higher fees but also work faster, have more specialized areas of expertise, and deliver a higher-quality product.
A contractor who is still in the process of building a client base may price their TensorFlow development services more competitively.
Which one is right for you will depend on the specifics of your project.